analysis

What is amortized analysis of algorithms? [closed]

由 孤者浪人 提交于 2019-11-27 06:00:36
How is it different from asymptotic analysis? When do you use it, and why? I've read some articles that seem to have been written well, like these: http://www.ugrad.cs.ubc.ca/~cs320/2010W2/handouts/aa-nutshell.pdf http://www.cs.princeton.edu/~fiebrink/423/AmortizedAnalysisExplained_Fiebrink.pdf but I've still not understood fully these concepts. So, can anyone please simplify it for me? Amortized analysis doesn't naively multiply the number of invocations with the worst case for one invocation. For example, for a dynamic array that doubles in size when needed, normal asymptotic analysis would

Reccurrence T(n) = T(n^(1/2)) + 1

由 拟墨画扇 提交于 2019-11-27 02:51:29
问题 I've been looking at this reccurrence and wanted to check if I was taking the right approach. T(n) = T(n^(1/2)) + 1 = T(n^(1/4)) + 1 + 1 = T(n^(1/8)) + 1 + 1 + 1 ... = 1 + 1 + 1 + ... + 1 (a total of rad n times) = n^(1/2) So the answer would come to theta bound of n^(1/2) 回答1: hint: assume n = 2 2 m or m = log 2 log 2 n, and you know 2 2 m-1 * 2 2 m-1 = 2 2 m so, if you define S(m)=T(n) your S will be: S(m) = S(m-1)+1 → S(m) = Θ(m) → S(m)=T(n) = Θ(log 2 log 2 n) extend it for the general

How can I determine how loud a WAV file will sound?

由 爱⌒轻易说出口 提交于 2019-11-26 22:23:42
问题 I have a bunch of different audio recordings in WAV format (all different instruments and pitches), and I want to "normalize" them so that they all sound approximately the same volume when played. I've tried measuring the average sample magnitude (the sum of all absolute values divided by the number of samples), but normalizing by this measurement doesn't work very well. I think this method isn't working because it doesn't take into account the frequency of the sounds, and I know that higher

How to analyze information from a Java core dump? [closed]

由 删除回忆录丶 提交于 2019-11-26 19:43:48
If a process crashes and leaves a core dump or I create one with gcore then how can I analyze it? I'd like to be able to use jmap , jstack , jstat etc and also to see values of all variables. This way I can find the reasons for a crashed or frozen JVM. Okay if you've created the core dump with gcore or gdb then you'll need to convert it to something called a HPROF file. These can be used by VisualVM, Netbeans or Eclipse's Memory Analyzer Tool (formerly SAP Memory Analyzer). I'd recommend Eclipse MAT. To convert the file use the commandline tool jmap . # jmap -dump:format=b,file=dump.hprof /usr

Static analysis of Java call graph

由 China☆狼群 提交于 2019-11-26 13:07:05
问题 What I\'d like to do is scan a set of Java classes, and trace all method calls from a specific method of an Abstract Class, and within that context, build a list of all code which performs some operation (in this case, instantiates an instance of a certain class). I want to know, the line number, and the arguments supplied. I\'ve begun looking at BCEL, but it doesn\'t seem to have call graph tracing built in? I\'m hesitant to write my own because getting the overloading, type signatures and

What is amortized analysis of algorithms? [closed]

由 天大地大妈咪最大 提交于 2019-11-26 10:08:42
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 4 years ago . How is it different from asymptotic analysis? When do you use it, and why? I\'ve read some articles that seem to have been written well, like these: http://www.ugrad.cs.ubc.ca/~cs320/2010W2/handouts/aa-nutshell.pdf http://www.cs.princeton.edu/~fiebrink/423

How to analyze information from a Java core dump? [closed]

由 我是研究僧i 提交于 2019-11-26 07:23:56
问题 If a process crashes and leaves a core dump or I create one with gcore then how can I analyze it? I\'d like to be able to use jmap , jstack , jstat etc and also to see values of all variables. This way I can find the reasons for a crashed or frozen JVM. 回答1: Okay if you've created the core dump with gcore or gdb then you'll need to convert it to something called a HPROF file. These can be used by VisualVM, Netbeans or Eclipse's Memory Analyzer Tool (formerly SAP Memory Analyzer). I'd

Why is constant always dropped from big O analysis?

由 人走茶凉 提交于 2019-11-26 02:19:49
问题 I\'m trying to understand a particular aspect of Big O analysis in the context of running programs on a PC. Suppose I have an algorithm that has a performance of O(n + 2). Here if n gets really large the 2 becomes insignificant. In this case it\'s perfectly clear the real performance is O(n). However, say another algorithm has an average performance of O(n^2/2). The book where I saw this example says the real performance is O(n^2). I\'m not sure I get why, i mean the 2 in this case seems not
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